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Irail Liveboard

irail_liveboard
Read-onlyIdempotent

Live departures board at a Belgian train station — Belgian train times SNCB NMBS. Brussels Antwerp Ghent departures with train number, destination, scheduled time, delay in minutes, platform, and canceled flag. Set type to "arrival" for the arrivals board. Station names accept English exonyms and fuzzy input ("Brussels-South", "Antwerp-Central", "Liège-Guillemins"). Example: irail_liveboard({ station: "Brussels-South" })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoBoard type: "departure" (default) or "arrival"
limitNoMax entries to return, 1-50 (default 15)
stationYesBelgian station name, e.g. "Brussels-South", "Antwerp-Central", "Ghent-Sint-Pieters", "Leuven", "Bruges"

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "station": "Brussels-South"
      +  },
      +  {
      +    "limit": 20,
      +    "station": "Antwerp-Central",
      +    "type": "arrival"
      +  }
      +]
  2. First observed

TDQS

A4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate read-only, open-world, and idempotent behavior. The description adds value by detailing station name flexibility (exonyms, fuzzy input) and the example usage pattern, but does not mention data freshness or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences plus an example convey all necessary information without redundancy. The key purpose and usage hints are front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple 3-parameter tool with no output schema, the description covers all parameters, expected output fields, and station name flexibility. No missing context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 100% coverage. The description adds meaning by clarifying station name accepts exonyms and fuzzy input, and implicitly notes the default type is departure. This goes beyond the schema's simple enum and string descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it is a live departures board for Belgian train stations and lists specific output fields. It is clear but does not explicitly differentiate from sibling tools like irail_journey or irail_disturbances.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions setting type to 'arrival' for arrivals board and provides station name examples, but does not provide when-to-use vs alternatives or when not to use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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